TY  - JOUR
PY  - 2014//
TI  - Using entropy measures to characterize human locomotion
JO  - Journal of biomechanical engineering
A1  - Leverick, Graham
A1  - Szturm, Tony
A1  - Wu, Qiong
SP  - 121002
EP  - 121002
VL  - 136
IS  - 12
N2  - Entropy measures have been widely used to quantify the complexity of theoretical and experimental dynamical systems. In this paper, the value of using entropy measures to characterize human locomotion is demonstrated based on their construct validity, predictive validity in a simple model of human walking and convergent validity in an experimental study. <br><br>RESULTS show that four of the five considered entropy measures increase meaningfully with the increased probability of falling in a simple passive bipedal walker model. The same four entropy measures also experienced statistically significant increases in response to increasing age and gait impairment caused by cognitive interference in an experimental study. Of the considered entropy measures, the proposed quantized dynamical entropy (QDE) and quantization-based approximation of sample entropy (QASE) offered the best combination of sensitivity to changes in gait dynamics and computational efficiency. Based on these results, entropy appears to be a viable candidate for assessing the stability of human locomotion.<p />  <p>Language: en</p>
LA  - en
SN  - 0148-0731
UR  - http://dx.doi.org/10.1115/1.4028410
ID  - ref1
ER  -